Mark Zuckerberg had earlier pledged to fix the social network's many problems, which ranges from fake news to interference, following the Cambridge Analytica scandal with an overhaul of the privacy rules and expansive fact-checking of articles, photos and images.

The company have now followed suit by expanding its fact-checking of photos and videos to partners in 17 countries around the world, while the third-party fact-checkers will help in reviewing and rating the accuracy or otherwise of contents uploaded on the platform.

Also, Facebook will be employing machine learning models that uses different engagement signals to identify fake news, which it then sends to the fact-checkers for review; though the fact-checkers can equally surface such false content on their own.

Facebook had recently updated its policies as it concerns collection of data from the over two billion monthly users on the social network, all in a bid to stem interference from outside the network. While Facebook will restrict developers' access to your data or have it expressly revoked if you haven't used their app in three months.

Facebook categorized misinformation in photos and videos into three: (1) Manipulated or Fabricated, (2) Out of Context, and (3) Text or Audio Claim, with that as mainly the kinds of false photos and videos common on the platform, it hopes to further reduce it with the expansion of the help of its fact-checking partners.

Albeit, the hoax can travel across different content types, it’s important to build defenses against misinformation across articles as well, as also the photos and videos.

How Facebook will fact-check Media Contents in fight against fake news and interference



Mark Zuckerberg had earlier pledged to fix the social network's many problems, which ranges from fake news to interference, following the Cambridge Analytica scandal with an overhaul of the privacy rules and expansive fact-checking of articles, photos and images.

The company have now followed suit by expanding its fact-checking of photos and videos to partners in 17 countries around the world, while the third-party fact-checkers will help in reviewing and rating the accuracy or otherwise of contents uploaded on the platform.

Also, Facebook will be employing machine learning models that uses different engagement signals to identify fake news, which it then sends to the fact-checkers for review; though the fact-checkers can equally surface such false content on their own.

Facebook had recently updated its policies as it concerns collection of data from the over two billion monthly users on the social network, all in a bid to stem interference from outside the network. While Facebook will restrict developers' access to your data or have it expressly revoked if you haven't used their app in three months.

Facebook categorized misinformation in photos and videos into three: (1) Manipulated or Fabricated, (2) Out of Context, and (3) Text or Audio Claim, with that as mainly the kinds of false photos and videos common on the platform, it hopes to further reduce it with the expansion of the help of its fact-checking partners.

Albeit, the hoax can travel across different content types, it’s important to build defenses against misinformation across articles as well, as also the photos and videos.

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